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INDONESIA
Jurnal Teknik Industri
Published by Universitas Kristen Petra Surabaya
ISSN : 14112485     EISSN : 20877439     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal Teknik Industri aims to: Promote a comprehensive approach to the application of industrial engineering in industries as well as incorporating viewpoints of different disciplines in industrial engineering. Strengthen academic exchange with other institutions. Encourage scientist, practicing engineers, and others to conduct research and other similar activities.
Arjuna Subject : -
Articles 9 Documents
 1 
Search results for , issue "Vol. 25 No. 1 (2023): June 2023" : 9 Documents clear
Tool Condition Monitoring with Convolutional Neural Network for Milling Tools and Turning Inserts Achmad Pratama Rifai; Silvyaniza Briliananda; Hideki Aoyama
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.1-16

Abstract

Tool wear is one of the cost drivers in the manufacturing industry because it directly affects the quality of the manufactured workpiece and production efficiency. Identifying the right time to replace the cutting tool is a challenge. If the tool is replaced too soon, the production time can be disrupted, causing unscheduled downtime. Conversely, if it is replaced too late, there will be an additional cost to replace raw materials damaged by broken tools. Therefore, researchers continue to develop tool condition monitoring (TCM) methods to analyze tool wear. A recent popular method is machine vision with convolutional neural networks (CNN). The present research aims to develop classification models that can categorize the image data of milling and turning inserts into GO (suitable for use) and NO GO (not suitable for use). Two approaches are selected for the modeling process, custom learning and transfer learning, with image data input from smartphones and microscope cameras. The experimental results show that the best model is the transfer learning approach using Inception-V3 architecture with a smartphone image. The model reaches 92.2% accuracy, hence demonstrating a relatively good performance in determining whether the tool is suitable for use or not.
Monitoring Viscosity of Polymer Products on the Reactor Tank Using IoT-based NodeMCU Paduloh Paduloh
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.53-64

Abstract

Viscosity is one of the critical parameters for polymer products; thus, monitoring the viscosity level is very important to know during the production process and production results. The Polymer Company recently suffered heavy losses due to an explosion in one of its reactor engines, the R306 engine. The investigation results show that the viscosity of the polymer is one of the causes of the heavy workload of the machine, when the viscosity is checked manually. This research was conducted based on these conditions, and a viscosity monitoring device was designed for the 306-tank product. The design used QFD visualization for product design and UML for information system design. In this study, polymer viscosity was measured using the falling ball method with an Infrared Sensor E18-D80NK to obtain the viscosity of polymer products. Viscosity data are configured directly with the Internet of Things using the NodeMCU microcontroller. The design results show that the tool can monitor the viscosity in the tank and provide polymer viscosity information in real-time, thus facilitating decision-making and increasing productivity.
People’s Trust in a Virtual Project Team: Results of a Game Experiment Vera Setyanitami; Hilya Mudrika Arini; Nurul Lathifah
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.65-78

Abstract

This study aims to: (1) find out the variables that influence people’s trust in the virtual team in a project, (2) find out the relationship of these variables with people trust in the virtual team in a project, and (3) the relationship between the presence of experienced members on a virtual team in leading an organization to determine the success of a project. The experiment was conducted using online Werewolf game and collected questionnaires from 30 respondents that divided into 3 groups, i.e., (1) having experience of being leaders, (2) a combination of having and having no experience of being leaders, and (3) having no experience of being leaders. A correlation test and a comparative test were used to analyze the result. The results found four variables that could influence people’s trust, i.e., (1) ability, (2) benevolence, (3) integrity, and (4) task faithfulness. All variables had a positive effect, except for task faithfulness. There is a relationship between the presence of leaders in a virtual team to the success of the project.
Determinants of Online Impulsive Buying Post Pandemic Covid-19 Fransisca Andreani; Njo Anastasia; Foedjiawati Foedjiawati
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.17-30

Abstract

During the Covid-19 pandemic, the use of social media has increased in line with online buying transactions. This research was conducted to find out online impulsive buying due to the large amount of information and promotion spread on social media after the pandemic. Online questionnaires were distributed to 261 respondents who made online transactions. SEM-PLS 3.0. was used to analyze the data.  The results prove that hedonic browsing has a significant influence on flow experience. Flow experience has a significant influence on cognitive experience and affective experience as well as online impulsive buying. Cognitive experiences have significant influence on online impulsive buying. However, affective experiences do not have a significant influence on online impulsive buying. Moreover, financial management behavior cannot moderate the relationship among cognitive and affective experiences as well as online impulse buying. Theoretically, the study shows that irrational consumption processes lead to hedonic shopping due to easy and convenient searching for products through social media. Thus, in practice it is advisable for marketing managers to design their promotions on social media related to products and interspersed with financial literacy so that consumers can shop wisely.  
Optimizing Shipping Operations through Real-Time Monitoring and Control: A Decision Support System for Container Stripping Processes Felix Julio; Angelina Vanni; Shea Amanda; Vitover Joey; Siana Halim
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.43-52

Abstract

The shipping industry plays a vital role in the global economy, with container shipping being one of the critical components. Shipping companies outline the time for customer stripping days in its contracts. The availability of the containers depends on the stripping days. The stripping days’ tardiness will hinder the availability of the containers. Therefore, it is fundamental for shipping companies to monitor both the actual condition and the contract condition of stripping days to estimate container availability and prompt customers to expedite the unloading process. However, there has yet to be a tool for monitoring the actual and the contract conditions. In this study, we used the recorded container stripping data to analyze container stripping days, tardiness, and other important parameters that indicate the performance and reliability of stripping containers. These data were post-processed and analyzed using data mining methods, and the resulting information was visualized using a dashboard to facilitate quick and effortless monitoring the dashboard in this study depicts post-processed data on container stripping days and tardiness for each port of discharge, cargo, customer, and other parameters. The dashboard was constructed using Google Data Studio. As a result, the dashboard is expected to help companies monitor, control, and analyze customers with high tardiness, allowing companies to act and ensure that the number of available containers after stripping meets demand at a given time.
Occupational Health and Safety Risk Analysis Using AS/NZS Standard 4360:2004 in a Fish Meatball Industry Resti Nurmala Dewi
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.31-42

Abstract

The Indonesian fishing industry developed by 1.4% in 2020, compared to the previous year, as shown by the existence of around 773 seafood factories. Such growth caused the emergence of different working conditions due to the use of complex machines. In 2019, the industrialization process generated an immense potential for accidents on occupational health as the mishaps increased from 60 to 270 cases. For this reason, this study aimed to identify the value and level of risk, using HIRARC (Hazard Identification Risk Assessment and Risk Control) following AS/NZS 4360:2004 standards. The study was conducted at the fish meatball company located in East Java, for six months. The results showed that the company could manage the occupational health and safety, as indicated by the reduction of the levels of risk from acceptable (33.4%), priority 3 (14.3%), priority 2 risk (38.1%), priority 1 risk (9.5%), and very high risk (4.8%) to acceptable (76%) and priority 3 (24%). The risk assessment matrix had shifted from yellow (moderate) to green (low). Some recommendations implemented in the workplace included creating a safety organization, organizing training sessions among employees, fostering a safety culture, applying ergonomic principles, and controlling work hours.
Development of Green Housing Willingness to Pay Conceptual Model on Jabodetabek Community Evonella Pangaribuan; Yuniaristanto Yuniaristanto; Roni Zakaria
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.97-110

Abstract

The need for housing for Indonesian people is increasing yearly due to the high population growth rate. This fact can gradually trigger global warming. There is a need for intervention in the residential sector to minimize the resulting negative impacts by developing a green building concept. This study uses an extended Theory of Planned Behavior to identify the factors influencing purchase intention and willingness to pay for green housing (GH) in the Jabodetabek community. The study collected 347 valid responses through a survey with a purposive sampling method and used structural equation modeling to test the hypotheses. The factors raised in this study are attitudes, perceived behavioral control, subjective norms, environmental concern, subjective knowledge, policy, perceived risks, green communication, green purchase intentions (GPI), and willingness to pay (WTP). This research proves that attitude, policy, and subjective knowledge factors significantly directly affect GPI. Meanwhile, environ­mental concerns and subjective knowledge can also significantly and indirectly affect GPI. This study also proves a significant influence between GPI and WTP for GH in the Jabodetabek community. Perceived risk has a significant negative impact on the GPI. Additionally, developers can employ a strategy that combines attitude, subjective knowledge, and environmental concern to design programs that address consumers' cognitive and affective aspects. The government can also play a role in promoting the use of GH through incentives related to green construction.
Model of Twin Automatic Stacking Crane Operation Strategy with Dynamic Handshake Area in an Automated Container Terminal Maulin Masyito Putri; Ahmad Rusdiansyah; Siti Nurminarsih
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.79-96

Abstract

This paper proposes a new idea for allocating a handshake area of an automated container yard. A block of automated container yards (CY) consists of two areas, which are the import (waterside) and export (landside) areas. The CY has two major activities (loading and unloading), where both are served by Twin Automatic Stacking Cranes (Twin-ASCs). A handshake area in the middle of the CY serves as a temporary slot for both ASCs. This situation causes an imbalance between the ASCs when the demands of each side differ significantly. Thus, we proposed using a dynamic location of the handshake area corresponding to the proportion demand of export and import containers. We developed a heuristics model and algorithms of ASC’s operations to compare the efficiency of the ASC operations between the fixed and the dynamic location. Based on our model and algorithm, we developed simulation software. Finally, we explored some numerical experiments to compare the performance of both policies in dealing with different export and import demand scenarios. Our result showed that the proposed approach outperformed the existing one in reducing unnecessary ASC movements.
Front Matter (Cover, Editorial, Table of Content) Jurnal Teknik Industri
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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